Rendiment
Anàlisi i optimització del rendiment
memory-intake
nhadaututtheky
Structured memory creation workflow. Converts messy notes, conversations, and unstructured thoughts into well-typed, tagged, confidence-scored memories. Uses 1-question-at-a-time clarification to avoid cognitive overload.
memory-evolution
nhadaututtheky
Evidence-based memory optimization from real usage patterns. Analyzes recall performance, identifies bottlenecks, suggests consolidation/pruning/enrichment, and tracks improvement over time via checkpoint Q&A.
react-best-practices
redpanda-data
Client-side React performance optimization patterns.
note
ReinaMacCredy
Manage persistent working memory. Add priority context, manual notes, or working memory that persists across sessions.
browsing
obra
Use when you need direct browser control - teaches Chrome DevTools Protocol for controlling existing browser sessions, multi-tab management, form automation, and content extraction via use_browser MCP tool
fastapi-python
debpalash
Expert in FastAPI Python development with best practices for APIs and async operations
steering
nahisaho
steering skill Trigger terms: steering, project memory, codebase analysis, auto-update context, generate steering, architecture patterns, tech stack analysis, project structure, analyze codebase, understand project Use when: User requests involve steering tasks.
agent-assistant
nahisaho
Agent assistance skill that provides stuck detection, memory management, and session learning capabilities for AI agents Trigger terms: agent stuck, loop detected, session memory, agent learning, condense memory, stuck detection, agent memory, session learnings, extraction Use when: User reports agent is stuck, looping, or needs memory/learning management
profiling-tables
astronomer
Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
difficult-workplace-conversations
softaworks
Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.
feedback-mastery
softaworks
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
performance-profiling
conorluddy
Instruments integration and performance analysis workflows for iOS apps. Use when profiling CPU usage, memory allocation, network activity, or energy consumption. Covers Time Profiler, Allocations, Leaks, Network instruments, and performance optimization strategies.
indicator-buffer
DaveSkender
Implement BufferList incremental indicators with efficient state management. Use for IIncrementFromChain or IIncrementFromQuote implementations. Covers interface selection, constructor patterns, and BufferListTestBase testing requirements.
performance-testing
DaveSkender
Benchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.
indicator-stream
DaveSkender
Implement StreamHub real-time indicators with O(1) performance. Use for ChainHub or QuoteProvider implementations. Covers provider selection, RollbackState patterns, performance anti-patterns, and comprehensive testing with StreamHubTestBase.
indicator-series
DaveSkender
Implement Series-style batch indicators with mathematical precision. Use for new StaticSeries implementations or optimization. Series results are the canonical reference—all other styles must match exactly. Focus on cross-cutting requirements and performance optimization decisions.
fairchem
jkitchin
Expert guidance for Meta's FAIRChem library - machine learning methods for materials science and quantum chemistry using pretrained UMA models with ASE integration for fast, accurate predictions
letta-api-client
letta-ai
Build applications with the Letta API — a model-agnostic, stateful API for building persistent agents with memory and long-term learning. Covers SDK patterns for Python and TypeScript. Includes 24 working code examples.
performance-profiling
vudovn
Performance profiling principles. Measurement, analysis, and optimization techniques.
rust-pro
vudovn
Master Rust 1.75+ with modern async patterns, advanced type system
mobile-design
vudovn
Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.
react-best-practices
vudovn
React and Next.js performance optimization from Vercel Engineering. Use when building React components, optimizing performance, eliminating waterfalls, reducing bundle size, reviewing code for performance issues, or implementing server/client-side optimizations.
react-native-best-practices
storybookjs
Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.
playwright-best-practices
currents-dev
Provides comprehensive guidance for writing, debugging, and maintaining Playwright tests in TypeScript. Use when writing Playwright tests, fixing flaky tests, debugging failures, implementing Page Object Model, configuring CI/CD, optimizing performance, mocking APIs, handling authentication or OAuth, testing accessibility (axe-core), file uploads/downloads, date/time mocking, WebSockets, geolocation, permissions, multi-tab/popup flows, mobile/responsive layouts, touch gestures, GraphQL, error handling, offline mode, multi-user collaboration, third-party services (payments, email verification), console error monitoring, global setup/teardown, test annotations (skip, fixme, slow), project dependencies, security testing (XSS, CSRF, auth), performance budgets (Web Vitals, Lighthouse), iframes, component testing, canvas/WebGL, service workers/PWA, test coverage, i18n/localization, Electron apps, or browser extension testing. Covers E2E, component, API, visual, accessibility, security, Electron, and extension testing.